Challenge 7: Incorporating Multiple Inputs

Functions + Fish

Author

Your name

Download BlackfootFish.csv

This is a continuation of Lab 7: Functions + Fish.

library(tidyverse)
fish <- read.csv("BlackfootFish.csv")

Error in file(file, "rt"): cannot open the connection

A frequently used measurement for fish health is a condition index (Wikipedia article). The following simple equation can be used to calculate the approximate condition index of a fish:

\[\text{condition index} = \frac{weight}{length^3} \times 100\]

1. There are specific units required for the calculation of a condition index – length must be in centimeters and weight must be in grams. The weight data for the Blackfoot River fish were collected in grams; the length data were collected in millimeters. Transform the length data to the correct units.

# Code for 1

2. Replace impossible length and weight measurements with NAs. Do some research on the 4 species of trout included in these data to determine what measurements are unlikely or impossible. Write a function to handle this process.

Your function should accept at least three inputs:

a vector of measurements,
the minimum value you believe is “reasonable,”
the maximum value you believe is “reasonable.”

If a value falls outside these bounds, you should replace it with an NA.

Tip

If you are struggling with the structure of your function, I would suggest reading the Mutating Function from R4DS.

Use your function to modify the length and weight columns of the BlackfootFish data set, removing values you believe are unreasonable.

# Code for 2

3. Write a function to calculate the condition index of a fish, given inputs of weight and length.

Warning

Consider whether your function will accept vectors as inputs or if it will accept variable names as inputs!

# Code for 3

4. Make a thoughtful visualization of how fish conditions have varied over the duration of this study.

# Code for 4

--- title: "Challenge 7: Incorporating Multiple Inputs" subtitle: "Functions + Fish" author: "Your name" format: html: self-contained: true code-tools: true toc: true editor: source execute: error: true echo: true message: false warning: false --- [Download .qmd starter file](CH_functions.qmd) [Download `BlackfootFish.csv`](../lab_assignments/lab7/BlackfootFish.csv) This is a continuation of [Lab 7: Functions + Fish](https://zoerehnberg.github.io/STAT331-S23/lab_assignments/lab7/LA7_functions.html). ```{r setup} library(tidyverse) fish <- read.csv("BlackfootFish.csv") ``` <center> ::: columns ::: {.column width="25%"} ![](https://github.com/earobinson95/stat331-calpoly/blob/master/lab-assignments/lab7/images/smallest_trout.jpg?raw=true) ::: ::: {.column width="40%"} ![](https://github.com/earobinson95/stat331-calpoly/blob/master/lab-assignments/lab7/images/largest_trout.png?raw=true) ::: ::: </center> A frequently used measurement for fish health is a condition index [(Wikipedia article)](https://en.wikipedia.org/wiki/Condition_index_in_fish). The following simple equation can be used to calculate the approximate condition index of a fish: $$\text{condition index} = \frac{weight}{length^3} \times 100$$ **1. There are specific units required for the calculation of a condition index -- length must be in centimeters and weight must be in grams. The weight data for the Blackfoot River fish were collected in grams; the length data were collected in millimeters. Transform the length data to the correct units.** ```{r} # Code for 1 ``` **2. Replace impossible `length` and `weight` measurements with `NA`s. Do some research on the 4 species of trout included in these data to determine what measurements are unlikely or impossible. Write a function to handle this process.** Your function should accept at least three inputs: + a vector of measurements, + the minimum value you believe is "reasonable," + the maximum value you believe is "reasonable." If a value falls outside these bounds, you should replace it with an `NA`. ::: callout-tip If you are struggling with the structure of your function, I would suggest reading the [Mutating Function](https://r4ds.hadley.nz/functions.html#mutate-functions) from R4DS. ::: Use your function to modify the `length` and `weight` columns of the `BlackfootFish` data set, removing values you believe are unreasonable. ```{r} # Code for 2 ``` **3. Write a function to calculate the condition index of a fish, given inputs of weight and length.** ::: callout-warning Consider whether your function will accept vectors as inputs or if it will accept variable names as inputs! ::: ```{r} # Code for 3 ``` **4. Make a thoughtful visualization of how fish conditions have varied over the duration of this study.** ```{r} # Code for 4 ```